Work with a top Global Organisation which has been around for over 100 years and be part of something big! This is an exciting opportunity to join a leading engineering team in Australia and work on multiple initiatives which will transform the way the organisation services its customers. You will play a significant role in providing world-class technology solutions for this business division, including building capabilities for Gen AI as part of the AI platform team.What will you be doing?Design and Development: Design, build and implement scalable ML/AI solutions into production. Ensure quality coding practices, including test-driven development, unit testing and secure coding.Automation & CI/CD: Develop and manage CI/CD pipelines for ML models and infrastructure using DevOps best practices.Cloud Infrastructure: Design and manage scalable ML infrastructure on AWS, with good experience in infrastructure as a code (EKS).Architecture: Integrate ML/LLM capabilities into existing architecture, enhancing overall system functionality and performance.Security & Compliance: Ensure secure coding practices, including DevSecOps, data privacy and compliance when handling ML models and pipelines.Collaboration: Work closely with Data Scientists, Architects, Engineers, BAs and product teams to integrate ML solutions into business applications.What are we looking for?Growth mindset – somebody eager to learn and keen to develop and grow.Over 5+ years demonstrated experience as a ML Engineer.Expertise with MLOps, LLMOps and DevOps.Highly experienced in AWS cloud, including IaaC, AWS CDK.Experience across production of LLM models and Prompt Engineering (Familiarity with RAG is a nice to have).Proficient in Engineering with Python, SQL.Good knowledge of containerisation and CI/CD.Structured in your way of work with good documentation.Excellent communication skills – ability to work across different teams and engage with stakeholders.Work on cutting-edge ML and AI projects with top-tier engineers.Opportunity to shape the ML/AI strategy for a growing organisation.Hybrid working (3 days in office) with a truly supported working environment.Initial 6 months with view to extend or go perm – they want to keep you!How to ApplyIf you are passionate about building scalable and production-ready ML solutions, we’d love to hear from you.Reach out to Imogen on ihough@launchrecruitment.com.au or click Apply! You must reside in Sydney and have full working rights.Get in touch with us and our friendly staff will get back to you as soon as possible!
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